Towards Collaborative Crash Cart Robots that Support Clinical Teamwork

Angelique Taylor, Tauhid Tanjim, Huajie Cao, Hee Rin Lee

Abstract: Healthcare workers (HCWs) face many challenges during bedside care that impede team collaboration and often lead to poor patient outcomes. Robots have the potential to support medical decision-making, help identify medical errors, and deliver supplies to clinical teams in a timely manner. However, there is a lack of knowledge about using robots to support clinical team dynamics despite being used in surgery, healthcare operations, and other applications. To address this gap, we engaged in a co-design process of robots that support clinical teamwork. We collaboratively explore how robots can support clinical teamwork with HCWs. This collaborative process includes understanding the challenges they face during bedside care and envisioning robots that can help mitigate these issues. Our study shows that robots can act as a shared mental model for clinical teams, help close communication gaps, and provide procedural steps to assist HCWs with limited in-hospital experience. This research highlights new ways HRI researchers can deploy robots in acute care settings, as well as define appropriate levels of autonomy to maintain human control in safety-critical settings.